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Brain anatomical networks in early human brain development.

机译:早期人类大脑发育中的大脑解剖网络。

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摘要

Recent neuroimaging studies have demonstrated that human brain networks have economic small-world topology and modular organization, enabling efficient information transfer among brain regions. However, it remains largely unknown how the small-world topology and modular organization of human brain networks emerge and develop. Using longitudinal MRI data of 28 healthy pediatric subjects, collected at their ages of 1 month, 1 year, and 2 years, we analyzed development patterns of brain anatomical networks derived from morphological correlations of brain regional volumes. The results show that the brain network of 1-month-olds has the characteristically economic small-world topology and nonrandom modular organization. The network's cost efficiency increases with the brain development to 1 year and 2 years, so does the modularity, providing supportive evidence for the hypothesis that the small-world topology and the modular organization of brain networks are established during early brain development to support rapid synchronization and information transfer with minimal rewiring cost, as well as to balance between local processing and global integration of information.
机译:最近的神经影像研究表明,人脑网络具有经济的小世界拓扑结构和模块化组织,可以在大脑区域之间进行有效的信息传递。然而,人们大脑的小世界拓扑结构和模块化组织如何出现和发展仍然是一个未知数。我们使用28例健康的儿科受试者的纵向MRI数据(分别在1个月,1年和2岁时收集的数据)来分析从大脑区域体积的形态相关性得出的大脑解剖网络的发展模式。结果表明,一个月大的孩子的大脑网络具有典型的经济小世界拓扑和非随机模块化组织。随着大脑发展到1年和2年,网络的成本效率增加,模块化也随之提高,这为以下假设提供了支持性证据:在早期大脑发展过程中建立了小世界拓扑结构和大脑网络的模块化组织,以支持快速同步。并以最小的重新布线成本进行信息传输,并在本地处理和信息的全球集成之间取得平衡。

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